Exp Range- 4 to 12Years
Locations- PAN India
Key Responsibilities:
1. Design, implement, and maintain end-to-end ML pipelines for model training, evaluation,
and deployment
2. Collaborate with data scientists and software engineers to operationalize ML models
3. Develop and maintain CI/CD pipelines for ML workflows
4. Implement monitoring and logging solutions for ML models
5. Optimize ML infrastructure for performance, scalability, and cost-efficiency
6. Ensure compliance with data privacy and security regulations
Required Skills and Qualifications:
1. Strong programming skills in Python, with experience in ML frameworks
2. Expertise in containerization technologies (Docker) and orchestration platforms
(Kubernetes)
3. Proficiency in cloud platform (AWS) and their ML-specific services
4. Experience with MLOps tools
5. Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)
6. Knowledge of data versioning and model versioning techniques
7. Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)
8. Knowledge of distributed training techniques
9. Experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
10. Understanding of ML-specific testing and validation techniques
Keyskills: data science python machine learning
Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...